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Annotation Analyst Jobs (NOW HIRING)

AppleOne

Audio Annotation Clerk

Lake Mary, FL

$18/hr

... and analytical skills. Key Responsibilities - Listen to audio recordings and evaluate speech ... annotation tasks. - Support improvements to AI and speech recognition technology through precise ...

AppleOne

Audio Annotation Clerks

Lake Mary, FL

$18/hr

This work supports audio analysis and data quality efforts, including projects that may help ... and annotation tasks. - Follow training instructions, workflow standards, and productivity ...

BC Forward

AI Data Annotation Specialist

Charlotte, NC · On-site

$56.08/hr

Experience with data annotation, data labeling, QA, research operations, or analytical workflows. Ability to follow complex technical instructions and detailed labeling guidelines with high accuracy.

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How much do annotation analyst jobs pay per year?

As of Jul 7, 2026, the average yearly pay for annotation analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What are the typical day-to-day responsibilities of an Annotation Analyst?

As an Annotation Analyst, your daily responsibilities generally include reviewing and labeling large volumes of data—such as images, text, or audio—according to predefined guidelines or project requirements. You may also participate in quality control processes, address edge cases or ambiguities in the data, and collaborate with project managers, data scientists, or other analysts to ensure consistency and accuracy. Additionally, you might provide feedback on annotation tools or contribute to refining categorization criteria. The role often involves both independent work and teamwork within a fast-paced, detail-oriented environment, where precision is essential for supporting training and evaluation of AI or machine learning models.

Is an annotation analyst a good job?

An annotation analyst is a role that involves labeling data to train machine learning models, often requiring attention to detail and familiarity with annotation tools. The job can offer flexible schedules and remote work options but may involve repetitive tasks and lower pay compared to other tech roles. Its suitability depends on individual preferences for data work and career goals.

What does an annotation analyst do?

An annotation analyst is responsible for labeling and categorizing data, such as images, text, or videos, to help train machine learning models. They use specialized tools and follow guidelines to ensure data accuracy and consistency, often working in a team environment with quality control measures.

Does data annotation actually pay well?

Data annotation analysts typically earn hourly wages that are close to minimum wage or slightly above, depending on the company and location. While some positions offer flexible schedules and remote work, the pay generally remains modest compared to other tech roles, and advanced skills or certifications can lead to higher compensation.

What are the key skills and qualifications needed to thrive in the Annotation Analyst position, and why are they important?

To thrive as an Annotation Analyst, you need exceptional attention to detail, analytical thinking, and proficiency in data labeling or linguistic annotation, often supported by a relevant degree such as linguistics or computer science. Familiarity with annotation tools and platforms (like Labelbox, Prodigy, or proprietary systems) and knowledge of data privacy standards are highly beneficial. Strong communication, collaboration, and time management skills help in working efficiently with multidisciplinary teams and meeting project deadlines. These qualities are crucial for producing high-quality, accurate datasets that directly impact the success of machine learning and AI initiatives.

What is an Annotation Analyst job?

An Annotation Analyst is responsible for labeling and categorizing data, such as text, images, audio, or video, to help improve machine learning models and AI systems. They follow specific guidelines to ensure accuracy and consistency in annotations. This role often involves reviewing, analyzing, and correcting data to enhance AI algorithms' performance. Annotation Analysts typically work with teams developing natural language processing (NLP), computer vision, or speech recognition technologies. Strong attention to detail and familiarity with industry tools are key skills for success in this role.

What qualifications do you need to be a data annotator?

To be a data annotator, typically a high school diploma or equivalent is required, along with strong attention to detail and basic computer skills. Familiarity with annotation tools and the ability to follow guidelines accurately are also important for success in this role.
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Annotation Analyst jobs near you
Infographic showing various Annotation Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.

Data Annotation Specialist - Computer Vision & Video Labeling

Wealth Recruitment, LLC

San Francisco, CA • On-site

$20 - $40/hr

Contractor

Re-posted 23 days ago

Job description

Are you highly detail-oriented with the ability to stay focused through complex visual tasks? We're seeking a Data Annotation Specialist to support cutting-edge computer vision and autonomous systems development by labeling and reviewing large-scale image and video datasets. In this role, your work will directly improve the quality of machine learning models used in advanced perception systems.

This is an excellent opportunity for candidates with experience in computer vision annotation, robotics, aviation, maritime operations, drone systems, military intelligence analysis, or sensor-based technologies who enjoy analytical, high-focus work in a fast-paced technical environment.

As a Data Annotation Specialist, you will:
  • Perform high-volume image and video labeling using internal proprietary annotation tools
  • Review visual datasets across multiple sensor and data types
  • Identify, document, and flag model failure cases to support machine learning improvements
  • Maintain strong labeling accuracy while meeting throughput and productivity targets
  • Track progress across large datasets and ensure consistent performance
  • Follow established annotation guidelines and escalate unclear or edge-case scenarios when needed
  • Work closely with technical teams to support rapid model development cycles

Requirements

Ideal Background

We're especially interested in candidates with backgrounds in:

  • Maritime operations
  • Drone/UAS operations
  • Aviation or aircraft systems
  • Military intelligence, ISR, or sensor analysis
  • Robotics or autonomous systems
  • Computer vision or video annotation environments
Required Qualifications
  • Must be a U.S. Citizen (required for CUI eligibility)
  • Experience with computer vision labeling, robotics annotation, or video/image analysis
  • Strong attention to detail and ability to maintain focus during repetitive visual review tasks
  • Comfortable working in proprietary internal software platforms
  • Ability to consistently balance speed and accuracy in a production environment
  • Strong pattern recognition and analytical skills
  • Reliable internet connection and ability to work independently

Benefits

Schedule
  • 20-30 hours per week initially while current project backlog is addressed
  • Hours may adjust based on project needs and performance

Pay Rate = $20 - $40 per hour

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